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2020 – today
- 2024
[j18]Lichao Wu
, Sébastien Tiran, Guilherme Perin, Stjepan Picek:
Plaintext-based Side-channel Collision Attack. IACR Commun. Cryptol. 1(3): 20 (2024)- [j17]Lichao Wu, Azade Rezaeezade, Amir Alipour, Guilherme Perin, Stjepan Picek:
Leakage Model-flexible Deep Learning-based Side-channel Analysis. IACR Commun. Cryptol. 1(3): 41 (2024) - [j16]Marina Krcek, Guilherme Perin:
Autoencoder-enabled model portability for reducing hyperparameter tuning efforts in side-channel analysis. J. Cryptogr. Eng. 14(3): 475-497 (2024) - [j15]Huimin Li, Guilherme Perin:
A systematic study of data augmentation for protected AES implementations. J. Cryptogr. Eng. 14(4): 649-666 (2024) - [j14]Lichao Wu, Yoo-Seung Won, Dirmanto Jap, Guilherme Perin, Shivam Bhasin, Stjepan Picek:
Ablation Analysis for Multi-Device Deep Learning-Based Physical Side-Channel Analysis. IEEE Trans. Dependable Secur. Comput. 21(3): 1331-1341 (2024) - [j13]Lichao Wu, Guilherme Perin, Stjepan Picek:
I Choose You: Automated Hyperparameter Tuning for Deep Learning-Based Side-Channel Analysis. IEEE Trans. Emerg. Top. Comput. 12(2): 546-557 (2024) - [c25]Azade Rezaeezade, Abraham Basurto-Becerra, Léo Weissbart, Guilherme Perin:
One for All, All for Ascon: Ensemble-Based Deep Learning Side-Channel Analysis. ACNS Workshops (1) 2024: 139-157 - [c24]Ioana Savu, Marina Krcek, Guilherme Perin, Lichao Wu, Stjepan Picek:
The Need for MORE: Unsupervised Side-Channel Analysis with Single Network Training and Multi-output Regression. COSADE 2024: 113-132 - [i39]Sengim Karayalcin, Guilherme Perin, Stjepan Picek:
Diffuse Some Noise: Diffusion Models for Measurement Noise Removal in Side-channel Analysis. IACR Cryptol. ePrint Arch. 2024: 966 (2024) - 2023
- [j12]Guilherme Perin, Lichao Wu, Stjepan Picek:
The Need for Speed: A Fast Guessing Entropy Calculation for Deep Learning-Based SCA. Algorithms 16(3): 127 (2023) - [j11]Stjepan Picek, Guilherme Perin, Luca Mariot, Lichao Wu, Lejla Batina:
SoK: Deep Learning-based Physical Side-channel Analysis. ACM Comput. Surv. 55(11): 227:1-227:35 (2023) - [j10]Maikel Kerkhof, Lichao Wu, Guilherme Perin, Stjepan Picek:
No (good) loss no gain: systematic evaluation of loss functions in deep learning-based side-channel analysis. J. Cryptogr. Eng. 13(3): 311-324 (2023) - [j9]Lichao Wu, Léo Weissbart, Marina Krcek, Huimin Li, Guilherme Perin, Lejla Batina, Stjepan Picek:
Label Correlation in Deep Learning-Based Side-Channel Analysis. IEEE Trans. Inf. Forensics Secur. 18: 3849-3861 (2023) - [c23]Xiaoyun Xu, Guilherme Perin, Stjepan Picek:
IB-RAR: Information Bottleneck as Regularizer for Adversarial Robustness. DSN-W 2023: 129-135 - [c22]Lichao Wu, Guilherme Perin, Stjepan Picek:
Not so Difficult in the End: Breaking the Lookup Table-Based Affine Masking Scheme. SAC 2023: 82-96 - [i38]Xiaoyun Xu, Guilherme Perin, Stjepan Picek:
IB-RAR: Information Bottleneck as Regularizer for Adversarial Robustness. CoRR abs/2302.10896 (2023) - [i37]Marina Krcek, Guilherme Perin:
Autoencoder-enabled Model Portability for Reducing Hyperparameter Tuning Efforts in Side-channel Analysis. IACR Cryptol. ePrint Arch. 2023: 19 (2023) - [i36]Lichao Wu, Guilherme Perin, Stjepan Picek:
Hiding in Plain Sight: Non-profiling Deep Learning-based Side-channel Analysis with Plaintext/Ciphertext. IACR Cryptol. ePrint Arch. 2023: 209 (2023) - [i35]Lichao Wu, Guilherme Perin, Stjepan Picek:
Not so Difficult in the End: Breaking the ASCADv2 Dataset. IACR Cryptol. ePrint Arch. 2023: 724 (2023) - [i34]Marina Krcek, Lichao Wu, Guilherme Perin, Stjepan Picek:
Shift-invariance Robustness of Convolutional Neural Networks in Side-channel Analysis. IACR Cryptol. ePrint Arch. 2023: 1100 (2023) - [i33]Sengim Karayalcin, Marina Krcek, Lichao Wu, Stjepan Picek, Guilherme Perin:
It's a Kind of Magic: A Novel Conditional GAN Framework for Efficient Profiling Side-channel Analysis. IACR Cryptol. ePrint Arch. 2023: 1108 (2023) - [i32]Lichao Wu, Sébastien Tiran, Guilherme Perin, Stjepan Picek:
An End-to-end Plaintext-based Side-channel Collision Attack without Trace Segmentation. IACR Cryptol. ePrint Arch. 2023: 1109 (2023) - [i31]Lichao Wu, Amir Ali-pour, Azade Rezaeezade, Guilherme Perin, Stjepan Picek:
Breaking Free: Leakage Model-free Deep Learning-based Side-channel Analysis. IACR Cryptol. ePrint Arch. 2023: 1110 (2023) - [i30]Huimin Li, Guilherme Perin:
A Systematic Study of Data Augmentation for Protected AES Implementations. IACR Cryptol. ePrint Arch. 2023: 1179 (2023) - [i29]Ioana Savu, Marina Krcek, Guilherme Perin, Lichao Wu, Stjepan Picek:
The Need for MORE: Unsupervised Side-channel Analysis with Single Network Training and Multi-output Regression. IACR Cryptol. ePrint Arch. 2023: 1681 (2023) - [i28]Azade Rezaeezade, Abraham Basurto-Becerra, Léo Weissbart, Guilherme Perin:
One for All, All for Ascon: Ensemble-based Deep Learning Side-channel Analysis. IACR Cryptol. ePrint Arch. 2023: 1922 (2023) - 2022
- [j8]Lichao Wu, Guilherme Perin, Stjepan Picek:
The Best of Two Worlds: Deep Learning-assisted Template Attack. IACR Trans. Cryptogr. Hardw. Embed. Syst. 2022(3): 413-437 (2022) - [j7]Guilherme Perin, Lichao Wu, Stjepan Picek:
Exploring Feature Selection Scenarios for Deep Learning-based Side-channel Analysis. IACR Trans. Cryptogr. Hardw. Embed. Syst. 2022(4): 828-861 (2022) - [c21]Sudharshan Swaminathan, Lukasz Chmielewski, Guilherme Perin, Stjepan Picek:
Deep Learning-Based Side-Channel Analysis Against AES Inner Rounds. ACNS Workshops 2022: 165-182 - [c20]Azade Rezaeezade, Guilherme Perin, Stjepan Picek:
To Overfit, or Not to Overfit: Improving the Performance of Deep Learning-Based SCA. AFRICACRYPT 2022: 397-421 - [c19]Maikel Kerkhof, Lichao Wu, Guilherme Perin, Stjepan Picek:
Focus is Key to Success: A Focal Loss Function for Deep Learning-Based Side-Channel Analysis. COSADE 2022: 29-48 - [c18]Lichao Wu, Guilherme Perin, Stjepan Picek:
On the Evaluation of Deep Learning-Based Side-Channel Analysis. COSADE 2022: 49-71 - [c17]Rodrigo Lellis, Rafael Soares, Guilherme Perin:
Pruning-based Neural Network Reduction for Faster Profiling Side-Channel Attacks. ICECS 2022 2022: 1-4 - [p1]Marina Krcek, Huimin Li, Servio Paguada, Unai Rioja, Lichao Wu, Guilherme Perin, Lukasz Chmielewski:
Deep Learning on Side-Channel Analysis. Security and Artificial Intelligence 2022: 48-71 - [i27]Azade Rezaeezade, Guilherme Perin, Stjepan Picek:
To Overfit, Or Not to Overfit: Improving the Performance of Deep Learning-based SCA. IACR Cryptol. ePrint Arch. 2022: 340 (2022) - [i26]Guilherme Perin, Lichao Wu, Stjepan Picek:
I Know What Your Layers Did: Layer-wise Explainability of Deep Learning Side-channel Analysis. IACR Cryptol. ePrint Arch. 2022: 1087 (2022) - [i25]Lichao Wu, Leo Weissbart, Marina Krcek, Huimin Li, Guilherme Perin, Lejla Batina, Stjepan Picek:
AGE Is Not Just a Number: Label Distribution in Deep Learning-based Side-channel Analysis. IACR Cryptol. ePrint Arch. 2022: 1507 (2022) - 2021
- [j6]Guilherme Perin, Lukasz Chmielewski, Lejla Batina, Stjepan Picek:
Keep it Unsupervised: Horizontal Attacks Meet Deep Learning. IACR Trans. Cryptogr. Hardw. Embed. Syst. 2021(1): 343-372 (2021) - [j5]Jorai Rijsdijk, Lichao Wu, Guilherme Perin, Stjepan Picek:
Reinforcement Learning for Hyperparameter Tuning in Deep Learning-based Side-channel Analysis. IACR Trans. Cryptogr. Hardw. Embed. Syst. 2021(3): 677-707 (2021) - [c16]Lichao Wu, Guilherme Perin:
On the Importance of Pooling Layer Tuning for Profiling Side-Channel Analysis. ACNS Workshops 2021: 114-132 - [c15]Stjepan Picek, Annelie Heuser, Guilherme Perin, Sylvain Guilley:
Profiled Side-Channel Analysis in the Efficient Attacker Framework. CARDIS 2021: 44-63 - [c14]Vipul Arora, Ileana Buhan, Guilherme Perin, Stjepan Picek:
A Tale of Two Boards: On the Influence of Microarchitecture on Side-Channel Leakage. CARDIS 2021: 80-96 - [c13]Guilherme Perin, Ileana Buhan, Stjepan Picek:
Learning When to Stop: A Mutual Information Approach to Prevent Overfitting in Profiled Side-Channel Analysis. COSADE 2021: 53-81 - [c12]Jorai Rijsdijk, Lichao Wu, Guilherme Perin:
Reinforcement Learning-Based Design of Side-Channel Countermeasures. SPACE 2021: 168-187 - [i24]Jorai Rijsdijk, Lichao Wu, Guilherme Perin, Stjepan Picek:
Reinforcement Learning for Hyperparameter Tuning in Deep Learning-based Side-channel Analysis. IACR Cryptol. ePrint Arch. 2021: 71 (2021) - [i23]Guilherme Perin, Lichao Wu, Stjepan Picek:
Gambling for Success: The Lottery Ticket Hypothesis in Deep Learning-based SCA. IACR Cryptol. ePrint Arch. 2021: 197 (2021) - [i22]Guilherme Perin, Lichao Wu, Stjepan Picek:
AISY - Deep Learning-based Framework for Side-channel Analysis. IACR Cryptol. ePrint Arch. 2021: 357 (2021) - [i21]Lichao Wu, Guilherme Perin:
On the Importance of Pooling Layer Tuning for Profiling Side-channel Analysis. IACR Cryptol. ePrint Arch. 2021: 525 (2021) - [i20]Jorai Rijsdijk, Lichao Wu, Guilherme Perin, Stjepan Picek:
Reinforcement Learning-based Design of Side-channel Countermeasures. IACR Cryptol. ePrint Arch. 2021: 526 (2021) - [i19]Lichao Wu, Yoo-Seung Won, Dirmanto Jap, Guilherme Perin, Shivam Bhasin, Stjepan Picek:
Explain Some Noise: Ablation Analysis for Deep Learning-based Physical Side-channel Analysis. IACR Cryptol. ePrint Arch. 2021: 717 (2021) - [i18]Vipul Arora, Ileana Buhan, Guilherme Perin, Stjepan Picek:
A Tale of Two Boards: On the Influence of Microarchitecture on Side-Channel Leakage. IACR Cryptol. ePrint Arch. 2021: 905 (2021) - [i17]Lichao Wu, Guilherme Perin, Stjepan Picek:
On the Evaluation of Deep Learning-based Side-channel Analysis. IACR Cryptol. ePrint Arch. 2021: 952 (2021) - [i16]Lichao Wu, Guilherme Perin, Stjepan Picek:
The Best of Two Worlds: Deep Learning-assisted Template Attack. IACR Cryptol. ePrint Arch. 2021: 959 (2021) - [i15]Sudharshan Swaminathan, Lukasz Chmielewski, Guilherme Perin, Stjepan Picek:
Deep Learning-based Side-channel Analysis against AES Inner Rounds. IACR Cryptol. ePrint Arch. 2021: 981 (2021) - [i14]Maikel Kerkhof, Lichao Wu, Guilherme Perin, Stjepan Picek:
No (Good) Loss no Gain: Systematic Evaluation of Loss functions in Deep Learning-based Side-channel Analysis. IACR Cryptol. ePrint Arch. 2021: 1091 (2021) - [i13]Stjepan Picek, Guilherme Perin, Luca Mariot, Lichao Wu, Lejla Batina:
SoK: Deep Learning-based Physical Side-channel Analysis. IACR Cryptol. ePrint Arch. 2021: 1092 (2021) - [i12]Maikel Kerkhof, Lichao Wu, Guilherme Perin, Stjepan Picek:
Focus is Key to Success: A Focal Loss Function for Deep Learning-based Side-channel Analysis. IACR Cryptol. ePrint Arch. 2021: 1408 (2021) - [i11]Guilherme Perin, Lichao Wu, Stjepan Picek:
Exploring Feature Selection Scenarios for Deep Learning-based Side-Channel Analysis. IACR Cryptol. ePrint Arch. 2021: 1414 (2021) - [i10]Guilherme Perin, Lichao Wu, Stjepan Picek:
The Need for Speed: A Fast Guessing Entropy Calculation for Deep Learning-based SCA. IACR Cryptol. ePrint Arch. 2021: 1592 (2021) - 2020
- [j4]Guilherme Perin, Lukasz Chmielewski, Stjepan Picek:
Strength in Numbers: Improving Generalization with Ensembles in Machine Learning-based Profiled Side-channel Analysis. IACR Trans. Cryptogr. Hardw. Embed. Syst. 2020(4): 337-364 (2020) - [c11]Huimin Li, Marina Krcek, Guilherme Perin:
A Comparison of Weight Initializers in Deep Learning-Based Side-Channel Analysis. ACNS Workshops 2020: 126-143 - [c10]Guilherme Perin, Stjepan Picek:
On the Influence of Optimizers in Deep Learning-Based Side-Channel Analysis. SAC 2020: 615-636 - [i9]Guilherme Perin, Ileana Buhan, Stjepan Picek:
Learning when to stop: a mutual information approach to fight overfitting in profiled side-channel analysis. IACR Cryptol. ePrint Arch. 2020: 58 (2020) - [i8]Guilherme Perin, Lukasz Chmielewski, Lejla Batina, Stjepan Picek:
Keep it Unsupervised: Horizontal Attacks Meet Deep Learning. IACR Cryptol. ePrint Arch. 2020: 891 (2020) - [i7]Lichao Wu, Leo Weissbart, Marina Krcek, Huimin Li, Guilherme Perin, Lejla Batina, Stjepan Picek:
Everything is Connected: From Model Learnability to Guessing Entropy. IACR Cryptol. ePrint Arch. 2020: 899 (2020) - [i6]Huimin Li, Marina Krcek, Guilherme Perin:
A Comparison of Weight Initializers in Deep Learning-based Side-channel Analysis. IACR Cryptol. ePrint Arch. 2020: 904 (2020) - [i5]Guilherme Perin, Stjepan Picek:
On the Influence of Optimizers in Deep Learning-based Side-channel Analysis. IACR Cryptol. ePrint Arch. 2020: 977 (2020) - [i4]Lichao Wu, Guilherme Perin, Stjepan Picek:
I Choose You: Automated Hyperparameter Tuning for Deep Learning-based Side-channel Analysis. IACR Cryptol. ePrint Arch. 2020: 1293 (2020)
2010 – 2019
- 2019
- [c9]Christos Andrikos, Lejla Batina, Lukasz Chmielewski, Liran Lerman, Vasilios Mavroudis, Kostas Papagiannopoulos, Guilherme Perin, Giorgos Rassias, Alberto Sonnino:
Location, Location, Location: Revisiting Modeling and Exploitation for Location-Based Side Channel Leakages. ASIACRYPT (3) 2019: 285-314 - [i3]Christos Andrikos, Lejla Batina, Lukasz Chmielewski, Liran Lerman, Vasilios Mavroudis, Kostas Papagiannopoulos, Guilherme Perin, Giorgos Rassias, Alberto Sonnino:
Location, location, location: Revisiting modeling and exploitation for location-based side channel leakages. IACR Cryptol. ePrint Arch. 2019: 230 (2019) - [i2]Guilherme Perin, Baris Ege, Lukasz Chmielewski:
Neural Network Model Assessment for Side-Channel Analysis. IACR Cryptol. ePrint Arch. 2019: 722 (2019) - [i1]Guilherme Perin:
Deep Learning Model Generalization in Side-Channel Analysis. IACR Cryptol. ePrint Arch. 2019: 978 (2019) - 2015
- [j3]Guilherme Perin, Laurent Imbert, Philippe Maurine, Lionel Torres:
Vertical and horizontal correlation attacks on RNS-based exponentiations. J. Cryptogr. Eng. 5(3): 171-185 (2015) - [c8]Christophe Nègre, Guilherme Perin:
Trade-Off Approaches for Leak Resistant Modular Arithmetic in RNS. ACISP 2015: 107-124 - [c7]Guilherme Perin, Lukasz Chmielewski:
A Semi-Parametric Approach for Side-Channel Attacks on Protected RSA Implementations. CARDIS 2015: 34-53 - 2014
- [c6]Guilherme Perin, Laurent Imbert, Lionel Torres, Philippe Maurine:
Attacking Randomized Exponentiations Using Unsupervised Learning. COSADE 2014: 144-160 - 2013
- [j2]Guilherme Perin, Alice J. Kozakevicius:
Filtragem Wavelet de Sinais Cardíacos através de Algoritmos Adaptativos. RITA 20(3): 95-111 (2013) - [c5]Guilherme Perin, Laurent Imbert, Lionel Torres, Philippe Maurine:
Practical Analysis of RSA Countermeasures Against Side-Channel Electromagnetic Attacks. CARDIS 2013: 200-215 - [c4]Guilherme Perin, Laurent Imbert, Lionel Torres, Philippe Maurine:
Electromagnetic Analysis on RSA Algorithm Based on RNS. DSD 2013: 345-352 - 2012
- [c3]Guilherme Perin, Lionel Torres, Pascal Benoit, Philippe Maurine:
Amplitude demodulation-based EM analysis of different RSA implementations. DATE 2012: 1167-1172 - 2011
- [j1]Guilherme Perin, Daniel Gomes Mesquita, João Baptista dos Santos Martins:
Montgomery Modular Multiplication on Reconfigurable Hardware: Systolic versus Multiplexed Implementation. Int. J. Reconfigurable Comput. 2011: 127147:1-127147:10 (2011) - 2010
- [c2]Daniel Gomes Mesquita, Guilherme Perin, Fernando Luís Herrmann, João Baptista dos Santos Martins:
An efficient implementation of montgomery powering ladder in reconfigurable hardware. SBCCI 2010: 121-126
2000 – 2009
- 2009
- [c1]Fernando Luís Herrmann, Guilherme Perin, Josue Paulo Jose de Freitas, Rafael Bertagnolli, João Baptista dos Santos Martins:
A Gigabit UDP/IP network stack in FPGA. ICECS 2009: 836-839
Coauthor Index
[j18] [j17] [j14] [j13] [c24] [i39] [j12] [j11] [j10] [j9] [c23] [c22] [i38] [i36] [i35] [i34] [i33] [i32] [i31] [i29] [j8] [j7] [c21] [c20] [c19] [c18] [i27] [i26] [i25] [j6] [j5] [c15] [c14] [c13] [i24] [i23] [i22] [i20] [i19] [i18] [i17] [i16] [i15] [i14] [i13] [i12] [i11] [i10] [j4] [c10] [i9] [i8] [i7] [i5] [i4]
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